# voronoi

From dismo v1.3-3
by Robert Hijmans

##### Voronoi polygons

Create Voronoi polygons for a set of points. (These are also known Thiessen polygons, and Nearest Neighbor polygons; and the technique used is referred to as Delauny triangulation.)

- Keywords
- spatial

##### Usage

`voronoi(xy, ext, eps=1e-09, ...)`

##### Arguments

- xy
SpatialPoints* or two column matrix with x and y coordinates

- ext
Extent. Can be used to set the corners of the rectangular window enclosing the triangulation. The default is the data range plus 10 percent. See

`deldir`

- eps
Numerical tolerance used in triangulation. See

`deldir`

- ...
Additional arguments (none)

##### Value

SpatialPolygonsDataFrame

##### Examples

```
# NOT RUN {
# points
p <- matrix(c(17, 42, 85, 70, 19, 53, 26, 84, 84, 46, 48, 85, 4, 95, 48, 54, 66, 74, 50, 48,
28, 73, 38, 56, 43, 29, 63, 22, 46, 45, 7, 60, 46, 34, 14, 51, 70, 31, 39, 26), ncol=2)
v <- voronoi(p)
v
# }
```

*Documentation reproduced from package dismo, version 1.3-3, License: GPL (>= 3)*

### Community examples

Looks like there are no examples yet.